Compare / head-to-head
CodestralvsHy3
Codestral and Hy3 do not yet share a public benchmark, so quality cannot be compared apples-to-apples. Both offer a 256K-token context window.
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
0
no overlap yet
Cheaper per token
—
list price, input + output
Larger context
Tie
both 256K tokens
Provider uptime (30d)
100% · —
Mistral AI · Tencent Hunyuan
Codestral
Mistral AI · released 2025-01-13
text
Hy3
Tencent Hunyuan · released 2026-07-06
text
- Context
- 256K
- Max out
- —
- Input /1M
- —
- Output /1M
- —
- Cached /1M
- —
- Scores
- 41 · 8 core
Quality
Benchmark matrix
0 shared · 1 only Codestral · 41 only Hy3| Benchmark | Codestral | Hy3 | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 0 | ||||
| No public benchmark is reported for both models yet. | ||||
| Only Codestral reports · 1 | ||||
| HumanEval | 86.6% ↗ | not reported | — | — |
| Only Hy3 reports · 41 | ||||
| SWE-bench Verified | not reported | 78% ↗ | — | — |
| GPQA Diamond | not reported | 90.4% ↗ | — | — |
| Humanity's Last Exam (no tools) | not reported | 37% ↗ | — | — |
| LMArena Elo | not reported | 1440.6 ↗ | — | — |
| AA-LCR | not reported | 73.4% ↗ | — | — |
| Apex-Agent | not reported | 25.6% ↗ | — | — |
| ArxivMath | not reported | 52.2% ↗ | — | — |
| BrowseComp | not reported | 84.2% ↗ | — | — |
| CL-bench | not reported | 23.8% ↗ | — | — |
| CL-bench Life | not reported | 17% ↗ | — | — |
| ClawEval | not reported | 68.5% ↗ | — | — |
| CMT-Benchmark | not reported | 37.8% ↗ | — | — |
| DeepSearchQA | not reported | 91% ↗ | — | — |
| DeepSWE | not reported | 28% ↗ | — | — |
| e-bench | not reported | 50.2% ↗ | — | — |
| FrontierScience-Olympiad | not reported | 74.8% ↗ | — | — |
| FrontierScience-Research | not reported | 21.3% ↗ | — | — |
| HLE (with tools, text-only) | not reported | 53.2% ↗ | — | — |
| HorizonMath | not reported | 7.1% ↗ | — | — |
| Hy-Backend 2.0 | not reported | 25% ↗ | — | — |
| Hy-CompanyBench | not reported | 41.7% ↗ | — | — |
| Hy-Euler Pro | not reported | 24.2% ↗ | — | — |
| Hy-FinModelBench | not reported | 69% ↗ | — | — |
| Hy-Math | not reported | 60.9% ↗ | — | — |
| Hy-SkillsWorld | not reported | 45.8% ↗ | — | — |
| Hy-SWE Max | not reported | 49% ↗ | — | — |
| IMOAnswerBench | not reported | 90% ↗ | — | — |
| MathArena Apex | not reported | 38.7% ↗ | — | — |
| MCP Atlas | not reported | 79.1% ↗ | — | — |
| NL2Repo | not reported | 45.6% ↗ | — | — |
| PHYBench | not reported | 77.4% ↗ | — | — |
| ProdBench | not reported | 23% ↗ | — | — |
| SkillsBench | not reported | 55.3% ↗ | — | — |
| SuperChem | not reported | 54.9% ↗ | — | — |
| SWE-bench Multilingual | not reported | 75.8% ↗ | — | — |
| SWE-bench Pro | not reported | 57.9% ↗ | — | — |
| Terminal-Bench 2.1 | not reported | 71.7% ↗ | — | — |
| Toolathlon | not reported | 48.5% ↗ | — | — |
| USAMO 2026 | not reported | 72% ↗ | — | — |
| WideSearch | not reported | 76.4% ↗ | — | — |
| WildClawBench | not reported | 53.6% ↗ | — | — |
Scores tagged "epoch" or "matharena" are independent runs, used only where the lab has not published its own; ⚠ marks rows MathArena flags as released after the competition. Higher is better on every row. Δ is Codestral minus Hy3 in the benchmark's own unit. "Not reported" means the lab has not published that figure; it is not a zero. ↗ opens the source.
Specs & pricing
Side by side
Official pricing pages and model cards| Spec | Codestral | Hy3 | Edge |
|---|---|---|---|
| Context window | 256K tokens | 256K tokens | Tie |
| Max output | — | — | — |
| Input price / 1M | $0.3 ↗ | — | — |
| Output price / 1M | $0.9 ↗ | — | — |
| Cached input / 1M | $0.03 ↗ | — | — |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $1.2 | — | — |
| Modalities | text | text | Tie |
| Released | 2025-01-13 | 2026-07-06 | — |
| Cited benchmark scores | 1 | 41 | — |
Reliability
Provider status
Last 60 days · refreshed daily on this page · live on /statusMore matchups
Codestral vs …
Models sharing the most benchmarksMore matchups
Hy3 vs …
Models sharing the most benchmarksBuilt by Respan
Which one wins on your data?
Public benchmarks are a starting point. Run Codestral and Hy3 on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.